Computational Reconstruction Of Missing Data In Biological Research
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Computational Reconstruction Of Missing Data In Biological Research
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Author : Feng Bao
language : en
Publisher: Springer Nature
Release Date : 2021-08-06
Computational Reconstruction Of Missing Data In Biological Research written by Feng Bao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-06 with Computers categories.
The emerging biotechnologies have significantly advanced the study of biological mechanisms. However, biological data usually contain a great amount of missing information, e.g. missing features, missing labels or missing samples, which greatly limits the extensive usage of the data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data analysis, including deep recurrent neural network recovery for feature missings, robust information theoretic learning for label missings and structure-aware rebalancing for minor sample missings. Models in the book cover the fields of imbalance learning, deep learning, recurrent neural network and statistical inference, providing a wide range of references of the integration between artificial intelligence and biology. With simulated and biological datasets, we apply approaches to a variety of biological tasks, including single-cell characterization, genome-wide association studies, medical image segmentations, and quantify the performances in a number of successful metrics. The outline of this book is as follows. In Chapter 2, we introduce the statistical recovery of missing data features; in Chapter 3, we introduce the statistical recovery of missing labels; in Chapter 4, we introduce the statistical recovery of missing data sample information; finally, in Chapter 5, we summarize the full text and outlook future directions. This book can be used as references for researchers in computational biology, bioinformatics and biostatistics. Readers are expected to have basic knowledge of statistics and machine learning.
Computational Reconstruction Of Missing Data In Biological Research
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Author : Feng Bao
language : en
Publisher:
Release Date : 2021
Computational Reconstruction Of Missing Data In Biological Research written by Feng Bao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
The emerging biotechnologies have significantly advanced the study of biological mechanisms. However, biological data usually contain a great amount of missing information, e.g. missing features, missing labels or missing samples, which greatly limits the extensive usage of the data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models to improve the data analysis, including deep recurrent neural network recovery for feature missings, robust information theoretic learning for label missings and structure-aware rebalancing for minor sample missings. Models in the book cover the fields of imbalance learning, deep learning, recurrent neural network and statistical inference, providing a wide range of references of the integration between artificial intelligence and biology. With simulated and biological datasets, we apply approaches to a variety of biological tasks, including single-cell characterization, genome-wide association studies, medical image segmentations, and quantify the performances in a number of successful metrics. The outline of this book is as follows. In Chapter 2, we introduce the statistical recovery of missing data features; in Chapter 3, we introduce the statistical recovery of missing labels; in Chapter 4, we introduce the statistical recovery of missing data sample information; finally, in Chapter 5, we summarize the full text and outlook future directions. This book can be used as references for researchers in computational biology, bioinformatics and biostatistics. Readers are expected to have basic knowledge of statistics and machine learning.
Research In Computational Molecular Biology
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Author : Satoru Miyano
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-04-28
Research In Computational Molecular Biology written by Satoru Miyano and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-04-28 with Computers categories.
This volume contains the papers presented at the 9th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2005), which was held in Cambridge, Massachusetts, on May 14–18, 2005. The RECOMB conference series was started in 1997 by Sorin Istrail, Pavel Pevzner and Michael Waterman. The list of previous meetings is shown below in the s- tion “Previous RECOMB Meetings. ” RECOMB 2005 was hosted by the Broad Institute of MIT and Harvard, and Boston University’s Center for Advanced - nomic Technology, and was excellently organized by the Organizing Committee Co-chairs Jill Mesirov and Simon Kasif. This year, 217 papers were submitted, of which the Program Committee - lected 39 for presentation at the meeting and inclusion in this proceedings. Each submission was refereed by at least three members of the Program Committee. After the completion of the referees’ reports, an extensive Web-based discussion took place for making decisions. From RECOMB 2005, the Steering Committee decided to publish the proceedings as a volume of Lecture Notes in Bioinf- matics (LNBI) for which the founders of RECOMB are also the editors. The prominent volume number LNBI 3500 was assigned to this proceedings. The RECOMB conference series is closely associated with the Journal of Compu- tional Biology which traditionally publishes special issues devoted to presenting full versions of selected conference papers. The RECOMB Program Committee consistedof42members,aslistedonaseparatepage. Iwouldliketothank the RECOMB 2005 Program Committee members for their dedication and hard work.
Proceedings Of The Annual International Conference On Research In Computational Molecular Biology
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Author :
language : en
Publisher:
Release Date : 2004
Proceedings Of The Annual International Conference On Research In Computational Molecular Biology written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Bioinformatics categories.
Research In Computational Molecular Biology
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Author : Itsik Pe'er
language : en
Publisher: Springer Nature
Release Date : 2022-05-11
Research In Computational Molecular Biology written by Itsik Pe'er and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Computers categories.
This book constitutes the proceedings of the 26th Annual Conference on Research in Computational Molecular Biology, RECOMB 2022, held in San Diego, CA, USA in May 2022. The 17 regular and 23 short papers presented were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.
Research In Computational Molecular Biology
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Author : Alberto Apostolico
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-22
Research In Computational Molecular Biology written by Alberto Apostolico and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-22 with Computers categories.
This book constitutes the refereed proceedings of the 10th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2006, held in Venice, Italy in April 2006. The 40 revised full papers presented together with abstracts of 7 keynote talks were carefully reviewed and selected from 212 submissions. As the top conference in computational molecular biology, RECOMB addresses all current issues in algorithmic, theoretical, and experimental bioinformatics.
Research In Computational Molecular Biology
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Author : Roded Sharan
language : en
Publisher: Springer
Release Date : 2014-02-28
Research In Computational Molecular Biology written by Roded Sharan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Computers categories.
This book constitutes the refereed proceedings of the 18th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2014, held in Pittsburgh, PA, USA, in April 2014. The 35 extended abstracts were carefully reviewed and selected from 154 submissions. They report on original research in all areas of computational molecular biology and bioinformatics.
Proceedings Of The Eighth Annual International Conference On Research In Computational Molecular Biology
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Author : Philip E Bourne
language : en
Publisher:
Release Date : 2004
Proceedings Of The Eighth Annual International Conference On Research In Computational Molecular Biology written by Philip E Bourne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computer science categories.
Handbook Of Computational Molecular Biology
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Author : Srinivas Aluru
language : en
Publisher: CRC Press
Release Date : 2005-12-21
Handbook Of Computational Molecular Biology written by Srinivas Aluru and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-21 with Computers categories.
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of
Intelligent Computing And Optimization
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Author : Pandian Vasant
language : en
Publisher: Springer Nature
Release Date : 2021-02-07
Intelligent Computing And Optimization written by Pandian Vasant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-07 with Technology & Engineering categories.
Third edition of International Conference on Intelligent Computing and Optimization and as a premium fruit, this book, pursue to gather research leaders, experts and scientists on Intelligent Computing and Optimization to share knowledge, experience and current research achievements. Conference and book provide a unique opportunity for the global community to interact and share novel research results, explorations and innovations among colleagues and friends. This book is published by SPRINGER, Advances in Intelligent Systems and Computing. Ca. 100 authors submitted full papers to ICO’2020. That global representation demonstrates the growing interest of the research community here. The book covers innovative and creative research on sustainability, smart cities, meta-heuristics optimization, cyber-security, block chain, big data analytics, IoTs, renewable energy, artificial intelligence, Industry 4.0, modeling and simulation. We editors thank all authors and reviewers for their important service. Best high-quality papers have been selected by the International PC for our premium series with SPRINGER.